Popular GitHub Repositories for Distributive Politics

? Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**

A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

Comprehensive open-source intelligence platform analyzing Swedish political activities using AI and data visualization. Tracks politicians, government institutions, and parliamentary data, offering detailed insights, performance metrics, and advanced analytics.

Tools and algorithms to analyze Paraguayan Tweets in times of elections

This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can classify news articles into five distinct categories: business, politics, sports, technology, and entertainment.

A transformer-based language model trained on politics-related Twitter data. This repo is the official resource of the paper "PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter", LREC 2022

A Small Project for Pork Barrel Legislation Classification Using Convolutional Neural Networks (Lour's Pork Barrel Classifier (羅老師肉桶法案分類器)?? ??

Peer Reader streamlines your news consumption process by providing concise summaries of the news you care about. Leveraging advanced AI technology, it tailors updates from various domains such as sports, politics, business, technology, and health based on your preferences and location

An in-depth study of how attributes of political protests are an extremely valuable predictor of government change to come. The project uses Data Science techniques for detailed data wrangling, cleaning, and exploration before applying Machine Learning models. After applying techniques such as encoding, binning, log transformations, addressing class imbalance and hyperparameter tuning, the final model provides an F1 score of 0.80 and an accuracy of 0.96.

The Lobbying Crew is an AI-powered tool designed to streamline and automate the lobbying process.

This project is an NLP (Natural Language Processing) application that classifies BBC news articles into different genres, including sports, politics, entertainment, business, and technology. The classification is done using two different techniques: LSTM and GRU.

WIP - Chatbot project using RASA

A Streamlit app that classifies articles with URL or Text input into categories (e.g., politics, sports, technology, entertainment) and analyzes their tone (negative, positive, or neutral) using ChatGPT-Turbo API. In addition, the app summarizes the news article into different sections.

? FeedRecap: AI-powered platform for personalized newsletters ? featuring top tweets ? on trending topics like Politics, Tech, Sports, and Finance ?. Follow categories or custom Twitter profiles for curated content ?. Built with Next.js ??, Node.js ?, Express.js ?, MongoDB ?, TypeScript ?

This is a Machine Learning Project that uses the BBC News Dataset to classify news articles into 5 categories: Business, Entertainment, Politics, Sport, Tech. The project uses the Random Forest Classifier to classify the news articles.

A curated list of high-quality resources, tools, datasets, and educational content related to political science.

Analysis of a sample of comments taken from r/Politics on June 28, 2024.

"Automated News Classifier NLP" is a tool that classifies news headlines (Technology, Automobile, Health and Science, Investing, Politics) using machine learning. It leverages Selenium for dynamic web scraping , ensuring the model is trained on up-to-date and diverse news data and text preprocessing is done using Spacy Library.

Topic Detection and Text Generation is a project in which a topic of a text is predicted (Sport, Technology and Politics category) by fine-tuning pre-trained AWD_LSTM Algorithm (implemented using Deep Learning Library Fast.ai) and text is generated by using pre-trained GPT-2 Algorithm.